ISSN: 2222-6990
Open access
The world currently entering industry 4.0, which the industrial processes become automated and remotely control by computer with little input from human operators. Binocular vision is the result of signal sent to brain from eyes simultaneously which having advantage of depth perception. This project is about distance measurement of the object in 3-axis by using the advantages of binocular vision system. In this project, two webcams were used as binocular vision system to capture image and detect the distance measurement of the sample objects in 3-axis. The cameras must be calibrated before start to computing the distance measurement due to the fish eyes effect caused by the lens. In this project, the cameras were calibrated by using chessboard pattern with the size of 9x6 internal corners due to the simple geometry. The distance measurement algorithm will be executed once the cameras are calibrated, and the distance measurement is computed by using trigonometry concept.
Abdullah, S. C., Yusof, Y., Rashid, H., & Ma‘arof, M. N. (2015). Rectification Y-coordinate of epipolar geometry in calibration of binocular eye system. Procedia Computer Science, 76, 494-499.
Bradski, G., & Kaehler, A. (2008). Learning OpenCV: Computer vision with the OpenCV library. "O'Reilly Media, Inc.".
Hamed, M. M., David, A. G., & Marzieh, E. (2013). The relationship between binocular vision symptoms and near point of convergence. Indian Journal of Ophthalmology, 61(7), 325.
Hassan, M. A., Hussain, A., Saad, M. M., & Win, K. (2017). 3D distance measurement accuracy on low-cost stereo camera. Science International, 29(3), 599-599.
Huang, G. S., & Cheng, C. E. (2013). 3D coordinate identification of object using binocular vision system for mobile robot. 2013 CACS International Automatic Control Conference (CACS) (pp. 91-96). IEEE.
Microsoft. (2012) Microsoft LifeCam HD5000 Technical Data Sheet. pp. 3–4.
Wang, T., Liu, B., Wang, Y., & Chen, Y. (2017). Research situation and development trend of the binocular stereo vision system. AIP Conference Proceedings (Vol. 1839, No. 1, p. 020220). AIP Publishing LLC
Zou, L., & Li, Y. (2010). A method of stereo vision matching based on OpenCV. 2010 International Conference on Audio, Language and Image Processing (pp. 185-190). IEEE.
In-Text Citation: (Amari et al., 2021)
To Cite this Article: Amari, M. D., Abdullah, S. C., Yen, N. S., Yusoff, H., & Jaafar, S. A. B. (2021). Development and Performance Evaluation of Distance Measurements Detection Using 3 Axis Binocular Vision System. International Journal of Academic Research in Business and Social Sciences, 11(12), 2514–2524.
Copyright: © 2022 The Author(s)
Published by HRMARS (www.hrmars.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode